I$S Example '7 Testing for a difference in means
.ogist would like to deterrnine if playing Grand Theft Auto (GTA) causes young males to drive
'. To test this, he nds 18 males under the age of 25, and sets up an experirnent in which he has
7 either GTA or
Class Example 3: Normal probability
n pregnancies, from conception to birth, is on average 266 days with a
:Iard deviation of 16 days. Enough data has been collected on pregrlancy length that
L11 approximately normal distribuon. Use this infomation to ans
Class Example 2: Accounting for dispersion
Below are 6 years worth of daily high temperature readings (in F) taken in Fort Collins on Feb 6 th:
41
32
37
52
55
57
Calculate the standard deviation of this dataset:
x
x
x- x
(x- x )2
Sum of squares (SS) =
Var
Project 4
Linear regression
For this project, you will perform linear regression analyses in StatCrunch
Goal:
Linear regression might be the most popular type of statistical analysis out there, and it is always done in
software. This project will give you
Stat 301
Project 1
Descriptive Statistics
For this project, you will use summary statistics and plots to analyze two data sets, and answer
questions about them in WebAssign.
Goal:
The purpose of the project is to introduce you to hands-on data analysis, a
Class Example 11
Regression analysis of Florida 2000 election results
Background:
The 2000 U.S. presidential election ending up being decided in the state of Florida, by an extremely small number of
votes, totaling in either the hundreds or low thousands
Project 2
Hypothesis testing and confidence intervals
For this project, you will conduct hypothesis tests and construct confidence intervals for
population means and difference in means.
Goal:
The purpose of the project is to give you familiarity with how
Class Example 10 correlation and regression
For this example, we will use what we know about correlation and regression to analyze some NFL football data.
Specifically, we will look at the relationship between how many points a team scores per game (PPG),
Class Example 6: Confidence intervals for a single mean
In these two examples, we will use the same data from class example 5, constructing confidence intervals
this time rather than performing hypothesis tests.
First example:
In order to assess the assoc
Class Example 2: Accounting for dispersion
Below are 6 years worth of daily high temperature readings (in F) taken in Fort Collins on Feb 6 th:
41
32
37
52
55
57
Calculate the standard deviation of this dataset:
x
x
x- x
(x- x )2
Sum of squares (SS) =
Var
Class Example 3: Normal probability
The length of human pregnancies, from conception to birth, is on average 266 days with a
corresponding standard deviation of 16 days. Enough data has been collected on pregnancy length that
we know it follows an approxi
Class Example 5: Hypothesis testing for a single mean
First example:
in order to assess the association (if any) with adolescent alcohol use and brain development, investigators
randomly selected 12 adolescents with documented alcohol disorders. The resea
Class Example 6: Confidence intervals for a single mean
In these two examples, we will use the same data from class example 5, constructing confidence intervals
this time rather than performing hypothesis tests.
First example:
In order to assess the assoc
Class Example 5: Hypothesis testing for a single mean
First example:
In order to assess the association (if any) with adolescent alcohol use and brain development, investigators
randomly selected 12 adolescents with documented alcohol disorders. The resea
Class Example 1: Statistical Terminology
A group of Denver eye specialists wants to estimate the proportion of children in the US population that are afflicted
with myopia, a.k.a nearsightedness. (Note that, for this study a child was defined to be anyone
Class Example 1: Statistical Terminology
A group of Denver eye specialists wants to estimate the proportion of children in the US population that are afflicted
with myopia, a.k.a nearsightedness. (Note that, for this study a child was defined to be anyone
Project 3
Categorical data analysis using the General Social Survey
For this project, you will perform analyses on categorical variables, using the GSS
Goal:
The purpose of the project is to introduce you to using a large database and to give you hands-on
Class Example 10 correlation and regression
For this example, we will use what we know about correlation and regression to analyze some NFL football data.
Specifically, we will look at the relationship between how many points a team scores per game (PPG),
Class Example 8 Categorical analysis
ABCs The Bachelor and The Bachelorette have produced a number of highly visible, yet sadly
unsuccessful relationships. Suppose wed to determine if there is any association between which of the
two TV shows a couple cam
Class Example 11
Regression analysis of Florida 2000 election results
Background:
The 2000 U.S. presidential election ending up being decided in the state of Florida, by an extremely small number of
votes, totaling in either the hundreds or low thousands
Class Example
ANOVA and multiple comparisons
The boxplot and descriptive statistics below are of the heights of 124 singers in the NY Choral Society in 1979,
measured in inches, split by voice type (Soprano, Alto, Tenor, or Bass).
38
64.72
2.26
33
64.89
2
Class Example ANOVA and multiple comparisons
The boxplot and descripve statistics below are of the heights of 124 singers in the NY Choral Society in 1979,
measured in inches, split by voice type (Soprano, Alto, Tenor, or Bass).
Soprano Alto Tenor Bass
Introduction to SQL for Data Scientists
Ben O. Smith
College of Business Administration
University of Nebraska at Omaha
Learning Objectives
By the end of this document you will learn:
1. How to perform basic SQL commands
2. Understand the dierence between
Introduction to SQL for Data Scientists
Ben O. Smith
College of Business Administration
University of Nebraska at Omaha
Learning Objectives
By the end of this document you will learn:
1. How to perform basic SQL commands
2. Understand the difference betwe
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Time Series Analysis: The Basics
What is a time ser
White paper | November 2015
IOT PLATFORMS
The central backbone for the
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Companies that want to take advantage of IoT need solutions
to manage data and interact with customers. Learn about IoT
platforms and how to choose the right one for
PROC. OF THE 6th EUR. CONF. ON PYTHON IN SCIENCE (EUROSCIPY 2013)
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Mining online social networks with Python to study
urban mobility
Antnia Tugores , Pere Colet
arXiv:1404.6966v1 [cs.SI] 25 Apr 2014
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AbstractOn-line social networks have grown quickly o
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Time Series Analysis: Issues With Seasonal Adjustme
What Types of Questions Can Data Science Answer?
This post, authored by Brandon Rohrer, Senior Data Scientist at Microsoft, was the
second in a three-part series introducing data science with no jargon. The first post
covered What Can Data Science Do For
Data Scientist: The Sexiest Job of the 21st Century
When Jonathan Goldman arrived for work in June 2006 at LinkedIn, the business
networking site, the place still felt like a start-up. The company had just under 8 million
accounts, and the number was grow